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About Micro1: Job DescriptionJob Title: Member of Technical Staff, Enterprise AIJob Type: Full-timeLocation: RemoteThe RoleAs a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems. You will work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance.What You’ll DoEmbed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.Surface, formalize, and prioritize system failure modes in real-world deployments.Design high-signal datasets and evaluation protocols to target identified weaknesses.Run tight experimental loops to validate hypotheses and quantify improvements.Produce clear, decision-oriented analyses of system behavior and performance.Develop and benchmark agentic workflows, focusing on robustness and scalability.Build lightweight tooling to support evaluation, data curation, and rapid iteration.Contribute to internal and external research artifacts, including reports and benchmarks.Who You AreMaster’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.Strong judgment for research signal quality, including data selection and evaluation design.Experience designing datasets and evaluation frameworks for ML systems.Ability to translate ambiguous operational issues into structured research problems.Familiarity with RL environments and/or agentic system evaluation.Clear, concise communicator with a bias toward actionable insight.Proven ability to execute in fast iteration cycles and high-ambiguity settings.Collaborative mindset with experience working across research, product, and domain teams.PreferredStrong client-facing experience, particularly in technical or research-driven environments.Experience building internal research or evaluation tooling.Contributions to benchmarks, research publications, or open research initiatives.Exposure to enterprise AI deployments or forward-deployed research models.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $200,000 –$250,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.DisclaimerThe information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

About Micro1: Job DescriptionJob Title: Member of Technical Staff, Frontier AIJob Type: Full timeLocation: RemoteThe RoleWe’re hiring a Member of Technical Staff (MTS) to act as a technical owner operating at the intersection of research, data, and real-world AI systems. This is a hands-on role focused on improving model and system performance through rigorous evaluation, failure analysis, and iterative development.You’ll work closely with researchers, domain experts, and operators to ensure that experimental work produces clean, defensible research signal—and that this signal translates into meaningful improvements in deployed systems.What You’ll DoOwn research and evaluation initiatives end-to-end: problem framing, data design, quality calibration, and signal validation.Design ML-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream model performance.Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement.Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories.Work closely with researchers and domain experts to calibrate quality early and continuously raise the signal bar.Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance.Act as a quality gate: block claims, pause work, or force scope changes when signal strength or data integrity is insufficient.Partner with cross-functional and client-facing teams to translate research progress into clear, credible narratives grounded in evidence.Identify gaps in data or evaluation coverage and recommend where to invest, iterate, or stop based on learnings and impact.What We’re Looking ForStrong judgment around research signal quality and when work is (or is not) ready to be externalized.Experience designing ML-oriented datasets, evaluation frameworks, and QA processes.Ability to translate messy, real-world system behavior into structured research and evaluation opportunities.Comfort operating in ambiguity, with a bias toward ownership and decisive action.Clear written and verbal communication, especially when explaining tradeoffs, limitations, and signal strength to technical and non-technical stakeholders.Proven ability to work directly with experts during project kickoff, calibration, and iteration.A systems-level mindset, with interest in improving end-to-end model or agent performance rather than isolated components.PreferredExperience with reinforcement learning environments, simulators, or feedback-driven training systems.Experience improving agentic systems or AI systems operating in real-world workflows.Prior work embedded in applied research or production environments with direct impact on deployed systems.Experience with evaluation design for complex or real-world tasks.Familiarity with expert incentive design and engagement in high-stakes technical projects.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $240,000 –$350,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.DisclaimerThe information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

About Micro1: Job Title: Big Data EngineerJob Type: ContractorLocation: RemoteJob Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.Key Responsibilities:Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.Enforce data quality, security, and governance standards across all solutions.Document solutions and communicate complex technical concepts effectively, both in writing and verbally.Required Skills and Qualifications:Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.Advanced proficiency in Python for data processing, automation, and integration.Deep understanding of relational and NoSQL databases, including optimization and management techniques.Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).Strong foundation in data modeling, ETL processes, and data warehousing principles.Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical stakeholders.Detail-oriented, proactive, and self-motivated, thriving in remote and autonomous work environments.Preferred Qualifications:Prior experience in fast-paced or startup-like environments supporting global teams.Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).Familiarity with machine learning operations and data science workflows is a plus.

About Micro1: Job DescriptionRole Title: Behavioral AnalystRole Type: Contractor (Part-time or Full-time), Remote Location: Northern America, Latin America, United Kingdom, Europe, and Oceania.micro1 is engaging Behavioral Analysts to contribute their expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. We are especially interested in professionals with backgrounds as behavioral therapists, counselors, theater or acting coaches, or similar profiles adept in recognizing and interpreting subtle behavioral cues.Scope of WorkAnalyze text, audio, and video data to identify and categorize behavioral cues such as tone, gesture, and speech patterns.Provide detailed annotations and explanations that support AI model development in understanding nuanced human behavior.Develop scenario-based training materials drawing from real-world behavioral expertise.Collaborate with project leads to refine annotation guidelines and ensure quality deliverables.Review, evaluate, and offer feedback on AI-generated responses for behavioral accuracy and appropriateness.Document insights and best practices for interpreting complex interpersonal interactions.Contribute to ongoing process improvement through subject matter expertise.Preferred QualificationsBackground in behavioral therapy, counseling, theater/acting coaching, or a related field involving behavioral observation and analysis.Demonstrated ability to identify subtle changes in tone, speech, body language, and gestures.Exceptional written and verbal communication skills, with a strong emphasis on clarity and nuance.Experience creating training materials or facilitating skills development in others.Attention to detail and high standards for quality and accuracy in deliverables.Familiarity with remote collaboration tools and comfort working independently in a digital environment.Enthusiasm for leveraging domain expertise to influence emerging AI technologies.

About Micro1: Job DescriptionRole Title: Video Data Annotation SpecialistRole Type: ContractorLocation: Remotemicro1 is engaging Video Data Annotation Specialists to contribute expertise and precision to a customer’s project focused on the advancement of artificial intelligence. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkReview and annotate short video and audio clips, labeling content accurately based on project-specific guidelines.Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale.Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs.Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions.Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements.Safeguard all project data, adhering strictly to confidentiality and data protection standards.Preferred QualificationsDemonstrated experience with video and audio annotation, content labeling, or content moderation for digital platforms.Strong command of English, with the ability to communicate feedback and findings clearly in written form.Excellent attention to visual and audio detail, with a track record of delivering high-accuracy data annotation.Experience working independently and adapting quickly to changing project requirements or guidelines.Familiarity with guideline-based evaluation and quality assurance practices.Proactive approach to identifying process improvements and sharing best practices with remote collaborators.Commitment to maintaining data confidentiality and ethical handling of sensitive information.